Template-based human motion recognition for complex activities

Author

Ahad, Md Atiqur Rahman ; Ogata, T. ; Tan, J.K. ; Kim, H.S. ; Ishikawa, S.

Author_Institution

Dept. of Control Eng., Kyushu Inst. of Technol., Fukuoka

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

673

Lastpage

678

Abstract

We have presented motion history-based human motion recognition technique with various formats of feature vectors. Since the inception of the motion history image (MHI) template for motion recognition, various progresses have been adopted to improve this basic MHI. Stages of development of appearance-based representation and recognition approach are presented here on the basic motion history-based approach to solve self-occlusion problem using our method. Excellent recognition rate for various motions has been found. This is based on gradient-based optical flow calculation. For recognition, Hu moments are considered to calculate feature vectors. Various feature vectors are considered in this paper.

Keywords

feature extraction; image motion analysis; image recognition; image representation; image sequences; Hu moment; appearance-based representation; complex activity; feature extraction; gradient-based optical flow calculation; motion history template-based human motion recognition; self-occlusion problem; Control engineering; History; Humans; Image motion analysis; Image recognition; Image sequence analysis; Image sequences; Motion analysis; Optical sensors; Pixel; DMHI; Hu moment; MHI; feature vector; motion recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811355

Filename

4811355